Angel Terrones
Papers
2
Total Citations
59
H-Index
2
About
Angel Terrones is a leading researcher in autonomous robotics, with a focus on simultaneous localization and mapping (SLAM) and 3D environmental reconstruction. Terrones’s most influential work, “Autonomous 2D SLAM and 3D mapping of an environment using a single 2D LIDAR and ROS” (2017, 38 citations), introduces a novel algorithm that enables a mobile platform to perform autonomous 3D reconstruction using only a single 2D LIDAR sensor. By leveraging the Robot Operating System (ROS), this work significantly reduces hardware costs while maintaining robust mapping capabilities, making advanced 3D mapping accessible for smaller-scale robotics projects. Earlier, in “Development of a Control Platform for the Mobile Robot Roomba Using ROS and a Kinect Sensor” (2013, 21 citations), Terrones demonstrated a versatile control scheme integrating a Kinect sensor with the Roomba platform, enabling precise velocity-based control and multi-process communication. This foundational work showcases Terrones’s talent for bridging low-cost hardware with sophisticated software frameworks. With a combined citation impact exceeding 50, Angel Terrones’s contributions continue to inspire researchers developing affordable, scalable solutions for autonomous navigation and environmental sensing.
Research Focus
Key Achievements
Top Papers
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